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Marta Skreta
Marta Skreta
在 cs.toronto.edu 的电子邮件经过验证 - 首页
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SELFIES and the future of molecular string representations
M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ...
Patterns 3 (10), 2022
1362022
Errors are useful prompts: Instruction guided task programming with verifier-assisted iterative prompting
M Skreta*, N Yoshikawa*, S Arellano-Rubach, Z Ji, LB Kristensen, ...
arXiv preprint arXiv:2303.14100, 2023
542023
Large language models for chemistry robotics
N Yoshikawa*, M Skreta*, K Darvish*, S Arellano-Rubach, Z Ji, ...
Autonomous Robots 47 (8), 1057-1086, 2023
482023
Automatically disambiguating medical acronyms with ontology-aware deep learning
M Skreta, A Arbabi, J Wang, E Drysdale, J Kelly, D Singh, M Brudno
Nature communications 12 (1), 5319, 2021
39*2021
Self-driving laboratories for chemistry and materials science
G Tom, SP Schmid, SG Baird, Y Cao, K Darvish, H Hao, S Lo, ...
Chemical Reviews 124 (16), 9633-9732, 2024
332024
Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves
JCC Kwong, A Khondker, JK Kim, M Chua, DT Keefe, J Dos Santos, ...
Pediatric Nephrology, 1-8, 2022
322022
Nanoporous and wrinkled electrodes enhance the sensitivity of glucose biosensors
RC Adams-McGavin, Y Chan, CM Gabardo, J Yang, M Skreta, BC Fung, ...
Electrochimica Acta 242, 1-9, 2017
322017
Solution-processed wrinkled electrodes enable the development of stretchable electrochemical biosensors
Y Chan, M Skreta, H McPhee, S Saha, R Deus, L Soleymani
Analyst 144 (1), 172-179, 2019
292019
Predicting obstructive hydronephrosis based on ultrasound alone
L Erdman*, M Skreta*, M Rickard, C McLean, A Mezlini, DT Keefe, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
232020
The silent trial-the bridge between bench-to-bedside clinical AI applications
JCC Kwong, L Erdman, A Khondker, M Skreta, A Goldenberg, ...
Frontiers in digital health 4, 929508, 2022
192022
A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept
A Khondker, JCC Kwong, M Rickard, M Skreta, DT Keefe, AJ Lorenzo, ...
Journal of Pediatric Urology 18 (1), 78. e1-78. e7, 2022
192022
RePLan: Robotic replanning with perception and language models
M Skreta*, Z Zhou*, JL Yuan*, K Darvish, A Aspuru-Guzik, A Garg
arXiv preprint arXiv:2401.04157, 2024
182024
Predictive accuracy of prenatal ultrasound findings for lower urinary tract obstruction: a systematic review and Bayesian meta‐analysis
DT Keefe, JK Kim, E Mackay, M Chua, T Van Mieghem, P Yadav, M Lolas, ...
Prenatal Diagnosis 41 (9), 1039-1048, 2021
182021
PhenoPad: building AI enabled note-taking interfaces for patient encounters
J Wang, J Yang, H Zhang, H Lu, M Skreta, M Husić, A Arbabi, N Sultanum, ...
NPJ digital medicine 5 (1), 12, 2022
172022
Pre‐versus postnatal presentation of posterior urethral valves: a multi‐institutional experience
P Yadav, M Rickard, J Weaver, M Chua, JK Kim, A Khondker, K Milford, ...
BJU international 130 (3), 350-356, 2022
162022
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
K Darvish*, M Skreta*, Y Zhao*, N Yoshikawa, S Som, M Bogdanovic, ...
arXiv preprint arXiv:2401.06949, 2024
14*2024
Multi-institutional validation of improved vesicoureteral reflux assessment with simple and machine learning approaches
A Khondker, JCC Kwong, P Yadav, JYH Chan, A Singh, M Skreta, ...
The Journal of Urology 208 (6), 1314-1322, 2022
142022
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
A Kristiadi, F Strieth-Kalthoff, M Skreta, P Poupart, A Aspuru-Guzik, ...
arXiv preprint arXiv:2402.05015, 2024
112024
Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves
JK Weaver, K Milford, M Rickard, J Logan, L Erdman, B Viteri, N D’Souza, ...
Pediatric Nephrology 38 (3), 839-846, 2023
112023
Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification
M Skreta, A Luccioni, D Rolnick
Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020, 2020
102020
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